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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Scaling Self-Supervised and Cross-Modal Pretraining for Volumetric CT Transformers CVPR 2026 scCluBench: Comprehensive Benchmarking of Clustering Algorithms for Single-Cell RNA Sequencing AAAI 2026 SceneEdited: A City-Scale Benchmark for 3D HD Map Updating via Image-Guided Change Detection WACV 2026 SCIR: A Self-Correcting Iterative Refinement Framework for Enhanced Information Extraction Based on Schema AAAI 2026 ScoliGaitX: A Deep Multi-Modal Fusion Network for Scoliosis Assessment via Gait Video Analysis WACV 2026 SCoNE: a Self-Correcting and Noise-Augmented Method for Complex Biological and Chemical Named Entity Recognition EACL 2026 SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection AAAI 2026 Score-Based Diffusion Priors for Adaptive Conformal Inference under Distribution Shift UAI 2026 Score-Regularized Joint Sampling with Importance Weights for Flow Matching UAI 2026 Script Correction and Synthetic Pivoting: Adapting Tencent HY-MT for Low-Resource Turkic Translation EACL 2026 SD-CSFL: A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning WACV 2026 Sea-CLIP: Mining Semantic-Aware Representations for Few-Shot Anomaly Detection with CLIP WACV 2026 Seals-NLP at SemEval-2026 Task 9: A Comparative Study of Transformer Architectures for Polarization Detection SemEval 2026 SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning AAAI 2026 SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute AAAI 2026 Seeing All Sides: Multi-Perspective In-Context Learning for Subjective NLP EACL 2026 Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning AAAI 2026 Seeing Through Blur: Tackling Defocus in Spike-Based Imaging CVPR 2026 See, Think, Learn: A Self-Taught Multimodal Reasoner WACV 2026 SEFEL: A Simple Yet Effective Framework for Fast Event Linking AAAI 2026 Segment Anything Across Shots: A Method and Benchmark AAAI 2026 SegMo: Segment-aligned Text to 3D Human Motion Generation WACV 2026 Selective Weak-to-Strong Generalization AAAI 2026 Self-Concordant Perturbations for Linear Bandits COLT 2026 Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency AAAI 2026